Latent class nested logit model for analyzing high-speed rail access mode choice

Chieh Hua Wen, Wei Chung Wang, Chiang Fu

Research output: Contribution to journalArticlepeer-review

98 Citations (Scopus)


This paper explores access mode choice behavior, using a survey data collected in Taiwan. The latent class nested logit model is used to capture flexible substitution patterns among alternatives and preference heterogeneity across individuals while simultaneously identifying the number, sizes, and characteristics of market segments. The results indicate that a four-segment latent class nested logit model with individual characteristics in segment membership functions is the most preferred specification. Most high-speed rail travelers were cost-sensitive to access modes, and thus strategies that reduce the access costs can be more effective than reducing the access times.

Original languageEnglish
Pages (from-to)545-554
Number of pages10
JournalTransportation Research Part E: Logistics and Transportation Review
Issue number2
Publication statusPublished - 2012 Mar

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation


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